Salary
≈ $20k – $42k per year (Estimated)
Location
Hybrid (Bengaluru, Gurgaon, India)
Seniority
Senior · 5+ years exp

Removed from the employer's board on Nov 4, 2026. First seen by Alion on Oct 16, 2026.

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Founded in 1990, Publicis Sapient is a global digital business transformation consultancy that helps traditional enterprises modernize their operations, technology, and customer experiences. Headquartered in Boston, Massachusetts, the firm operates as the digital transformation hub of Publicis Groupe. Its multidisciplinary teams combine strategy, product engineering, data science, and design to help clients adapt to rapidly evolving digital markets.

Senior Python + Generative AI Engineer

Location : Gurgaon / Bangalore (Hybrid)

Experience : 5 - 10 Years

What youll actually work on :

Were looking for engineers who have moved beyond AI demos and notebooks people who have built, deployed, and maintained real systems powered by LLMs.

Youll design and build production-grade AI applications where reliability, latency, cost, and evaluation matter as much as accuracy.

Typical problems you may solve :

- Designing retrieval pipelines for enterprise knowledge

- Reducing hallucinations and improving response grounding

- Building agent workflows and tool integrations

- Scaling LLM applications on cloud infrastructure

- Monitoring and evaluating model performance in production

- Optimizing token usage, latency, and cost trade-offs

Core Responsibilities :


- Build backend services using Python

- Develop and productionize LLM applications (RAG / Agents / Assistants)

- Design prompt strategies, system instructions, and evaluation logic

- Integrate vector databases and data pipelines

- Work with cloud platforms to deploy scalable AI workloads

- Collaborate with product and data teams to translate business problems into AI systems

- Implement observability, testing, and guardrails for AI behavior

Required Skills :


- Strong Python fundamentals (APIs, async processing, performance optimization)

- Hands-on experience building applications using LLMs (OpenAI / open-source models)

- Experience with RAG architectures and embeddings

- Familiarity with frameworks like LangChain / LlamaIndex / similar orchestration tools

- Experience with vector databases (Pinecone, Weaviate, Milvus, FAISS, etc.)

- Cloud exposure (AWS / Azure / GCP) and containerized deployments

- Understanding of prompt engineering, evaluation, and hallucination handling

- Experience debugging production issues (latency, reliability, scaling)

Good to Have :

- Fine-tuning / adapters (LoRA / PEFT)

- Knowledge graphs or semantic search

- Model monitoring & evaluation frameworks

- Working with streaming pipelines

- Frontend integration for AI applications

What we value :

- Engineers who think in systems, not scripts

- Curiosity about failure modes, not just success cases

- Ability to explain technical trade-offs clearly

- Ownership from prototype production improvement

Location & Experience : Gurgaon / Bangalore

5- 10 years experience preferred

How to apply :

If youve built GenAI systems that people actually use (not just demos), Id love to talk.

Share your profile or GitHub and a short note on something youve shipped.


Skills

Python, Generative AI, LLM, Agentic AI, LangChain, AWS

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